A review on the technologies and services used in the self-management of health and independent living of elderly

Arif, Mohammad Jafar; Emary, Ibrahiem M. M. El; Koutsouris, D.

doi:10.3233/thc-140851

Cited by 23 publications

(11 citation statements)

References 63 publications

(50 reference statements)

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“…The limited evidence base is a challenge, as are concerns regarding the privacy of data and the use of eHealth in daily practice. Also, the question of how to engage older adults in eHealth interventions remains an issue [ 5 ]. If the interventions are not used (properly), their potential benefits cannot be fulfilled.…”

Section: Introductionmentioning

confidence: 99%

Perceptions of Patients With Chronic Obstructive Pulmonary Disease and Their Physiotherapists Regarding the Use of an eHealth Intervention

Vorrink¹,

Huisman²,

Kort³

et al. 2017

JMIR Hum Factors

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BackgroundIf eHealth interventions are not used (properly), their potential benefits cannot be fulfilled. User perceptions of eHealth are an important determinant of its successful implementation. This study examined how patients with chronic obstructive pulmonary disease (COPD) and their physiotherapists (PHTs) value an eHealth self-management intervention following a period of use.ObjectiveThe study aimed to evaluate the perceptions of COPD patients and their PHTs as eHealth users.MethodsIn this study, an eHealth self-management intervention (website and mobile phone app) aimed at stimulating physical activity (PA) in COPD patients was evaluated by its users (patients and PHTs). As participants in a randomized controlled trial (RCT), they were asked how they valued the eHealth intervention after 6 months’ use. Interview requests were made to 33 PHTs from 26 participating practices, and a questionnaire was sent to 76 patients. The questionnaire was analyzed in Excel (Microsoft). The interviews with the PHTs and text messages (short message service, SMS) sent between patients and PHTs were transcribed and independently coded in MAXQDA 10 for Windows (VERBI GmbH).ResultsA total of 60 patients with COPD filled out the questionnaire, and 24 PHTs were interviewed. The mobile phone app was used 89.0% (160.2/180 days) (standard deviation [SD] 18.5) of the time by patients; 53% (13/24) of PHTs reported low or no use. Patients scored the ease of use of the app 5.09 (SD 1.14) (on a 7-point scale). They found the presentation of the PA information in the app to be clear, insightful, and stimulating. All PHTs judged the website as explicit and user-friendly but had trouble devising a new PA goal for their patients. Patients mostly sent informative, neutral messages concerning the PA goal, and PHTs sent mostly motivating, positive messages concerning the PA goal. Messages were not perceived as supportive in reaching the PA goal according to the patients. Perceived usefulness of the intervention for the PHTs was the objective measurement of PA, the ability to see PA patterns over time, and the ability to use the intervention as a tool to give their patients insight into their PA. For patients, it was that the intervention supported them in increasing their PA and that it made them feel fitter. Barriers to use of the intervention according to the PHTs were time constraints and financial reasons. Seventy-nine percent (19/24) of the PHTs and 58% (35/60) of the patients mentioned they would be interested in using the intervention in the future.ConclusionsPHTs and COPD patients had positive feelings regarding the functionality and potential of the eHealth self-management intervention. This paper addresses a number of topics that may aid in the successful development and implementation of these types of eHealth interventions in the future.

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Section: Introductionmentioning

confidence: 99%

Perceptions of Patients With Chronic Obstructive Pulmonary Disease and Their Physiotherapists Regarding the Use of an eHealth Intervention

Vorrink¹,

Huisman²,

Kort³

et al. 2017

JMIR Hum Factors

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“…In AmI vision devices interact to support people in carrying out their everyday life activities and tasks in a natural way on the basis of information and intelligence that is hidden in this network of interconnected devices. Research in smart environments is often related to AAL attempts to extract information about people well-being (sleeping, being awake, daily rhythm, falls, or level of general activity) from the various sensors, often including cameras [ 16 ].…”

Section: System Architecturementioning

confidence: 99%

Lynx: Automatic Elderly Behavior Prediction in Home Telecare

López-Guede

Moreno-Fernandez-de-Leceta²,

Martinez-Garcia³

et al. 2015

BioMed Research International

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This paper introduces Lynx, an intelligent system for personal safety at home environments, oriented to elderly people living independently, which encompasses a decision support machine for automatic home risk prevention, tested in real-life environments to respond to real time situations. The automatic system described in this paper prevents such risks by an advanced analytic methods supported by an expert knowledge system. It is minimally intrusive, using plug-and-play sensors and machine learning algorithms to learn the elder's daily activity taking into account even his health records. If the system detects that something unusual happens (in a wide sense) or if something is wrong relative to the user's health habits or medical recommendations, it sends at real-time alarm to the family, care center, or medical agents, without human intervention. The system feeds on information from sensors deployed in the home and knowledge of subject physical activities, which can be collected by mobile applications and enriched by personalized health information from clinical reports encoded in the system. The system usability and reliability have been tested in real-life conditions, with an accuracy larger than 81%.

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“…The ageing populations around the world are rising. 1–4 This phenomenon has significant consequences for the community and elderly people. One of the most challenging results is the increasing prevalence of frailty among elderly.…”

Section: Introductionmentioning

confidence: 99%

Questionnaire development and validation for designing a health telemonitoring system for frail elderly people

et al. 2019

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Background Advancements in information technology have been instrumental in successful recent developments in telemonitoring systems. In this regard, there is a lack of development of valid and reliable tools to determine the requirements and applications of telemonitoring systems used to provide health care for frail elderly people living at home, specifically in a national setting. Method A cross-sectional study was carried out in 2018. The statistical population was 15 geriatric and gerontology professionals and 15 health information management experts. Then, content validity ratio (CVR), Cronbach's alpha, and correlation coefficient were calculated for measuring content validity, internal consistency and external reliability (through the test–retest method) respectively. SPSS software was used to analyze the collected data. Results Based on the identified items, a draft questionnaire was developed. Using the validity analysis in two stages, 37 items were removed, and 60 items were approved as the essential system requirements. The final questionnaire was organized into five sections with content validity index 99% and internal reliability (Cronbach's alpha coefficient 0.9). Furthermore, the external reliability results of the questionnaire showed that this instrument has a desirable correlation coefficient ( r = 0.85, p -value<0.05). Conclusion Considering the desirable validity and reliability of the questionnaire developed, it is recommended to telemonitoring system designers to determine the usages and requirements of health monitoring systems for frail elderly people living at home. The verified instrument is suitable for use in countries with the same living conditions and level of development as Iran.

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A review on the technologies and services used in the self-management of health and independent living of elderly

Cited by 23 publications

References 63 publications

Perceptions of Patients With Chronic Obstructive Pulmonary Disease and Their Physiotherapists Regarding the Use of an eHealth Intervention

Perceptions of Patients With Chronic Obstructive Pulmonary Disease and Their Physiotherapists Regarding the Use of an eHealth Intervention

Lynx: Automatic Elderly Behavior Prediction in Home Telecare

Questionnaire development and validation for designing a health telemonitoring system for frail elderly people

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